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Add detailed discussion and limitations to README MiniLM-Bench CI #13: Commit 76d6a4e pushed by yacine-baghli
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Remove unused math import in test_advanced_attention.py MiniLM-Bench CI #12: Commit 7ef2bc8 pushed by yacine-baghli
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Fix ruff.toml: move exclude to top-level MiniLM-Bench CI #11: Commit 629ee70 pushed by yacine-baghli
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Fix all ruff lint errors: remove unused imports across codebase, add … MiniLM-Bench CI #10: Commit 51d2000 pushed by yacine-baghli
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Update README with real experimental results from 7 attention variants MiniLM-Bench CI #9: Commit 966661e pushed by yacine-baghli
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Comprehensive float() cast at ALL usage points across codebase MiniLM-Bench CI #8: Commit f36e0bf pushed by yacine-baghli
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Fix: YAML parses '1e-6' as string, not float - cast norm_eps to float MiniLM-Bench CI #7: Commit 96e834a pushed by yacine-baghli
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Defensive int() casts on all YAML config values used in arithmetic MiniLM-Bench CI #6: Commit 62470c0 pushed by yacine-baghli
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Fix Tensor+str error: cast grad_norm to float, use device_type kwarg … MiniLM-Bench CI #5: Commit b39ace9 pushed by yacine-baghli
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Add Colab training notebook with Drive persistence and auto-resume MiniLM-Bench CI #4: Commit 2086166 pushed by yacine-baghli
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Fix FineWeb-Edu dataset path: use config_name='sample-10BT' MiniLM-Bench CI #3: Commit 0cc022c pushed by yacine-baghli
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Replace ASCII art with Mermaid architecture diagram MiniLM-Bench CI #2: Commit dcacf7e pushed by yacine-baghli
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Initial release: 8 attention variants from scratch MiniLM-Bench CI #1: Commit 1e27413 pushed by yacine-baghli
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